MHGanainy commited on
Commit
a1ce102
·
verified ·
1 Parent(s): 4b00852

MHGanainy/16-clusters-imbalanced-6

Browse files
Files changed (5) hide show
  1. README.md +2 -0
  2. all_results.json +13 -0
  3. eval_results.json +8 -0
  4. train_results.json +8 -0
  5. trainer_state.json +301 -0
README.md CHANGED
@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
15
  # 16-clusters-imbalanced-6
16
 
17
  This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
 
 
18
 
19
  ## Model description
20
 
 
15
  # 16-clusters-imbalanced-6
16
 
17
  This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 2.0664
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 2.066446542739868,
4
+ "eval_runtime": 48.4457,
5
+ "eval_samples_per_second": 13.747,
6
+ "eval_steps_per_second": 1.734,
7
+ "perplexity": 7.89671257199718,
8
+ "total_flos": 6.83676707586048e+16,
9
+ "train_loss": 2.194951180636027,
10
+ "train_runtime": 1168.3863,
11
+ "train_samples_per_second": 6.44,
12
+ "train_steps_per_second": 3.22
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 2.066446542739868,
4
+ "eval_runtime": 48.4457,
5
+ "eval_samples_per_second": 13.747,
6
+ "eval_steps_per_second": 1.734,
7
+ "perplexity": 7.89671257199718
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 6.83676707586048e+16,
4
+ "train_loss": 2.194951180636027,
5
+ "train_runtime": 1168.3863,
6
+ "train_samples_per_second": 6.44,
7
+ "train_steps_per_second": 3.22
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,301 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 3762,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02658160552897395,
13
+ "grad_norm": 0.11167939752340317,
14
+ "learning_rate": 6.666666666666667e-06,
15
+ "loss": 2.4588,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.0531632110579479,
20
+ "grad_norm": 0.188255175948143,
21
+ "learning_rate": 1.3333333333333333e-05,
22
+ "loss": 2.4716,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.07974481658692185,
27
+ "grad_norm": 0.3003849685192108,
28
+ "learning_rate": 2e-05,
29
+ "loss": 2.3953,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.1063264221158958,
34
+ "grad_norm": 0.3995692729949951,
35
+ "learning_rate": 1.9958854951371364e-05,
36
+ "loss": 2.3458,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 0.13290802764486975,
41
+ "grad_norm": 0.46281716227531433,
42
+ "learning_rate": 1.9835758388490783e-05,
43
+ "loss": 2.2854,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 0.1594896331738437,
48
+ "grad_norm": 0.49080541729927063,
49
+ "learning_rate": 1.9631723274171412e-05,
50
+ "loss": 2.2997,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 0.18607123870281764,
55
+ "grad_norm": 0.49114933609962463,
56
+ "learning_rate": 1.934842861535337e-05,
57
+ "loss": 2.2731,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 0.2126528442317916,
62
+ "grad_norm": 0.6612605452537537,
63
+ "learning_rate": 1.898820564653931e-05,
64
+ "loss": 2.2256,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 0.23923444976076555,
69
+ "grad_norm": 0.5731486678123474,
70
+ "learning_rate": 1.8554018646043045e-05,
71
+ "loss": 2.2504,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 0.2658160552897395,
76
+ "grad_norm": 0.5822581648826599,
77
+ "learning_rate": 1.8049440542914438e-05,
78
+ "loss": 2.2489,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 0.29239766081871343,
83
+ "grad_norm": 0.6100282073020935,
84
+ "learning_rate": 1.7478623515271526e-05,
85
+ "loss": 2.2226,
86
+ "step": 1100
87
+ },
88
+ {
89
+ "epoch": 0.3189792663476874,
90
+ "grad_norm": 0.6328096985816956,
91
+ "learning_rate": 1.684626482198639e-05,
92
+ "loss": 2.209,
93
+ "step": 1200
94
+ },
95
+ {
96
+ "epoch": 0.34556087187666135,
97
+ "grad_norm": 0.6116699576377869,
98
+ "learning_rate": 1.6157568148896227e-05,
99
+ "loss": 2.171,
100
+ "step": 1300
101
+ },
102
+ {
103
+ "epoch": 0.3721424774056353,
104
+ "grad_norm": 0.6875652074813843,
105
+ "learning_rate": 1.5418200787621966e-05,
106
+ "loss": 2.1755,
107
+ "step": 1400
108
+ },
109
+ {
110
+ "epoch": 0.39872408293460926,
111
+ "grad_norm": 0.7142069339752197,
112
+ "learning_rate": 1.4634246999370415e-05,
113
+ "loss": 2.1795,
114
+ "step": 1500
115
+ },
116
+ {
117
+ "epoch": 0.4253056884635832,
118
+ "grad_norm": 0.7618559002876282,
119
+ "learning_rate": 1.3812157947489629e-05,
120
+ "loss": 2.1622,
121
+ "step": 1600
122
+ },
123
+ {
124
+ "epoch": 0.45188729399255717,
125
+ "grad_norm": 0.7928171753883362,
126
+ "learning_rate": 1.2958698610782939e-05,
127
+ "loss": 2.1494,
128
+ "step": 1700
129
+ },
130
+ {
131
+ "epoch": 0.4784688995215311,
132
+ "grad_norm": 0.6995240449905396,
133
+ "learning_rate": 1.208089211443262e-05,
134
+ "loss": 2.1713,
135
+ "step": 1800
136
+ },
137
+ {
138
+ "epoch": 0.5050505050505051,
139
+ "grad_norm": 0.947179913520813,
140
+ "learning_rate": 1.1185961936634446e-05,
141
+ "loss": 2.1418,
142
+ "step": 1900
143
+ },
144
+ {
145
+ "epoch": 0.531632110579479,
146
+ "grad_norm": 0.7807749509811401,
147
+ "learning_rate": 1.0281272466525365e-05,
148
+ "loss": 2.1395,
149
+ "step": 2000
150
+ },
151
+ {
152
+ "epoch": 0.5582137161084529,
153
+ "grad_norm": 0.8438702821731567,
154
+ "learning_rate": 9.374268402553665e-06,
155
+ "loss": 2.1325,
156
+ "step": 2100
157
+ },
158
+ {
159
+ "epoch": 0.5847953216374269,
160
+ "grad_norm": 0.8339056968688965,
161
+ "learning_rate": 8.472413489983052e-06,
162
+ "loss": 2.161,
163
+ "step": 2200
164
+ },
165
+ {
166
+ "epoch": 0.6113769271664008,
167
+ "grad_norm": 1.044533610343933,
168
+ "learning_rate": 7.5831291016602544e-06,
169
+ "loss": 2.1111,
170
+ "step": 2300
171
+ },
172
+ {
173
+ "epoch": 0.6379585326953748,
174
+ "grad_norm": 0.884345293045044,
175
+ "learning_rate": 6.713733167465723e-06,
176
+ "loss": 2.1211,
177
+ "step": 2400
178
+ },
179
+ {
180
+ "epoch": 0.6645401382243488,
181
+ "grad_norm": 0.8833799958229065,
182
+ "learning_rate": 5.87137995499745e-06,
183
+ "loss": 2.1421,
184
+ "step": 2500
185
+ },
186
+ {
187
+ "epoch": 0.6911217437533227,
188
+ "grad_norm": 1.018437385559082,
189
+ "learning_rate": 5.063001197033337e-06,
190
+ "loss": 2.1473,
191
+ "step": 2600
192
+ },
193
+ {
194
+ "epoch": 0.7177033492822966,
195
+ "grad_norm": 0.7684484720230103,
196
+ "learning_rate": 4.295249050234738e-06,
197
+ "loss": 2.1583,
198
+ "step": 2700
199
+ },
200
+ {
201
+ "epoch": 0.7442849548112705,
202
+ "grad_norm": 0.9406973719596863,
203
+ "learning_rate": 3.5744413544846103e-06,
204
+ "loss": 2.1077,
205
+ "step": 2800
206
+ },
207
+ {
208
+ "epoch": 0.7708665603402446,
209
+ "grad_norm": 0.7980538606643677,
210
+ "learning_rate": 2.9065096433216667e-06,
211
+ "loss": 2.1044,
212
+ "step": 2900
213
+ },
214
+ {
215
+ "epoch": 0.7974481658692185,
216
+ "grad_norm": 0.808063805103302,
217
+ "learning_rate": 2.2969503332931754e-06,
218
+ "loss": 2.14,
219
+ "step": 3000
220
+ },
221
+ {
222
+ "epoch": 0.8240297713981924,
223
+ "grad_norm": 1.1028823852539062,
224
+ "learning_rate": 1.750779493889776e-06,
225
+ "loss": 2.1408,
226
+ "step": 3100
227
+ },
228
+ {
229
+ "epoch": 0.8506113769271664,
230
+ "grad_norm": 0.7982715964317322,
231
+ "learning_rate": 1.2724915702608288e-06,
232
+ "loss": 2.1195,
233
+ "step": 3200
234
+ },
235
+ {
236
+ "epoch": 0.8771929824561403,
237
+ "grad_norm": 0.9090045690536499,
238
+ "learning_rate": 8.660223983815708e-07,
239
+ "loss": 2.1148,
240
+ "step": 3300
241
+ },
242
+ {
243
+ "epoch": 0.9037745879851143,
244
+ "grad_norm": 0.8760251402854919,
245
+ "learning_rate": 5.347168170206063e-07,
246
+ "loss": 2.1416,
247
+ "step": 3400
248
+ },
249
+ {
250
+ "epoch": 0.9303561935140883,
251
+ "grad_norm": 0.9763931632041931,
252
+ "learning_rate": 2.813011430291446e-07,
253
+ "loss": 2.128,
254
+ "step": 3500
255
+ },
256
+ {
257
+ "epoch": 0.9569377990430622,
258
+ "grad_norm": 0.7760120034217834,
259
+ "learning_rate": 1.0786073645311035e-07,
260
+ "loss": 2.1564,
261
+ "step": 3600
262
+ },
263
+ {
264
+ "epoch": 0.9835194045720361,
265
+ "grad_norm": 0.8685386180877686,
266
+ "learning_rate": 1.5822840085052415e-08,
267
+ "loss": 2.1469,
268
+ "step": 3700
269
+ },
270
+ {
271
+ "epoch": 1.0,
272
+ "step": 3762,
273
+ "total_flos": 6.83676707586048e+16,
274
+ "train_loss": 2.194951180636027,
275
+ "train_runtime": 1168.3863,
276
+ "train_samples_per_second": 6.44,
277
+ "train_steps_per_second": 3.22
278
+ }
279
+ ],
280
+ "logging_steps": 100,
281
+ "max_steps": 3762,
282
+ "num_input_tokens_seen": 0,
283
+ "num_train_epochs": 1,
284
+ "save_steps": 500,
285
+ "stateful_callbacks": {
286
+ "TrainerControl": {
287
+ "args": {
288
+ "should_epoch_stop": false,
289
+ "should_evaluate": false,
290
+ "should_log": false,
291
+ "should_save": true,
292
+ "should_training_stop": true
293
+ },
294
+ "attributes": {}
295
+ }
296
+ },
297
+ "total_flos": 6.83676707586048e+16,
298
+ "train_batch_size": 2,
299
+ "trial_name": null,
300
+ "trial_params": null
301
+ }